CN109598404A - Automatically to the method and apparatus for issuing the progress data processing of sales task list - Google Patents
Automatically to the method and apparatus for issuing the progress data processing of sales task list Download PDFInfo
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Abstract
It is related to machine learning field automatically to the method and apparatus for issuing the progress data processing of sales task list the invention discloses a kind of, this method comprises: obtaining sales task list；Obtain the label attended a banquet, the label is that the attribute value of client in the sales task list to strike a bargain in history of attending a banquet according to is determined；According to the matching result of the sales task list and the label of attending a banquet, determination undertakes attending a banquet for the sales task；The sales task list is sent to the determining terminal attended a banquet.The method improves the success rate of sale, reduces and issues the time consumed by sales task list.
Description
Technical field
This disclosure relates to machine learning field, and in particular to a kind of to carry out data processing to issuing sales task list automatically
Method and apparatus.
Background technique
Sales task list in existing sale issues, be all by upper-level leader according to for it is each attend a banquet it is personal
Solution, sales task list is distributed to attend a banquet and is sold.Due to the limitation of upper-level leader's Subjective, the pin respectively attended a banquet is distributed to
It sells job order and may be not appropriate for part and attend a banquet and complete, integrated marketing success rate is lower so as to cause attending a banquet.
In addition, this distribution method lacks since there are bottlenecks in terms of data processing and automatically saves sales task
Single distribution time, the technology for improving distribution accuracy rate and implementation effect.
Summary of the invention
One purpose of the disclosure is to realize the accurate pairing of sales task with terminal of attending a banquet in terms of data processing, mention
The accuracy and efficiency of high task distribution.
According to the disclosure in a first aspect, disclosing a kind of automatically to the side for issuing the progress data processing of sales task list
Method, comprising:
Obtain sales task list；
Obtain the label attended a banquet, the label is the category of client in the sales task list to strike a bargain in history of attending a banquet according to
Property value is determined；
According to the matching result of the sales task list and the label of attending a banquet, the seat for undertaking the sales task is determined
Seat；
The sales task list is sent to the determining terminal attended a banquet.
According to an example implementation method of the disclosure, the label is determined in the following manner:
It attends a banquet described in determination the accounting for of the sales task list in all sales task lists to strike a bargain in history with each attribute value
Than；
The attribute value that the accounting is more than accounting threshold value is determined as the label attended a banquet.
According to an example implementation method of the disclosure, the accounting threshold value is corresponding with attribute value, wherein with attribute value pair
The accounting threshold value answered is determined as follows:
It attends a banquet for each in team, determines the pin for having the attribute value in all sales task lists to strike a bargain in history
Sell the accounting of job order；
By the ascending sequence of the accounting；
M-th accounting will be located in sequence, as the accounting threshold value, wherein M is positive integer, is equal in team and attends a banquet
Number rounds up multiplied by the product of predetermined ratio.
According to an example implementation method of the disclosure, the matching according to the sales task list and the label of attending a banquet
As a result, determination undertakes attending a banquet for the sales task, comprising:
Obtain the attribute value of client in the sales task list；
According to the attribute value of client, the matching result with the label attended a banquet in the sales task list, determine described in undertaking
Sales task is attended a banquet.
According to an example implementation method of the disclosure, it is described according to the attribute of client in the sales task list, with attend a banquet
Label matching result, determination undertake attending a banquet for the sales task, comprising:
Determine in the label attended a banquet with the consistent number of tags of one of the attribute value of client in the sales task list；
By the number of tags divided by the total number of labels attended a banquet, the label and the sales task list attended a banquet is obtained
The matching degree of the attribute value of middle client；
Based on the matching degree, determination undertakes attending a banquet for the sales task.
According to an example implementation method of the disclosure, attends a banquet the matching degree is highest, be determined as undertaking the sale
Task is attended a banquet.
According to an example implementation method of the disclosure, the matching according to the sales task list and the label of attending a banquet
As a result, determination undertakes attending a banquet for the sales task, comprising:
Obtain the sales task description in the sales task list；
Sales task description is segmented；
Determine frequency of occurrence of each word in the description；
Based on the frequency of occurrence, the keyword of firm sale job order；
Matching result based on the keyword Yu the label, determination undertake attending a banquet for the sales task.
According to an example implementation method of the disclosure, the matching according to the sales task list and the label of attending a banquet
As a result, determination undertakes attending a banquet for the sales task, further includes:
After being segmented the description of the sales task, only retain the verb and noun being divided into word.
It is described to be based on the frequency of occurrence, the key of firm sale job order according to an example implementation method of the disclosure
Word includes:
The word that the frequency of occurrence is greater than predetermined threshold is determined as to the keyword of sales task list.
According to an example implementation method of the disclosure, the matching result based on the keyword Yu the label, really
Surely attending a banquet for the sales task is undertaken, comprising:
Determine in the label attended a banquet with the consistent number of tags of one of the keyword；
By the number of tags divided by the total number of labels attended a banquet, of the label attended a banquet and the keyword is obtained
With degree；
Based on the matching degree, determination undertakes attending a banquet for the sales task.
According to an example implementation method of the disclosure, attends a banquet the matching degree is highest, be determined as undertaking the sale
Task is attended a banquet.
According to an example implementation method of the disclosure, the matching according to the sales task list and the label of attending a banquet
As a result, determination undertakes attending a banquet for the sales task, comprising:
By the sales task single input machine learning model, by the machine learning model according in machine learning model
Sales task description, output undertakes attending a banquet for the sales task, and the machine learning model, which is previously stored with, respectively attends a banquet
Label,
The machine learning model is trained in the following way in advance: sales task is described sample set input machine learning
Model is exported by the machine learning model label according to the pre-stored data respectively attended a banquet and is described sample distribution for each sales task
Attend a banquet, sales task describes each sales task in sample set and describes sample and distributed in advance to attend a banquet, if machine learning
Model output attend a banquet with for the sales task that inputs describe sample it is prior it is allocated attend a banquet inconsistent, adjust the engineering
Model is practised, attending a banquet of making that machine learning model exports describes that sample is allocated in advance to attend a banquet one with the sales task for input
It causes.
It is described to send the sales task list packet to the determining terminal attended a banquet according to an example implementation method of the disclosure
It includes:
It is attended a banquet according to determining, searches the e-mail address or telephone number of the terminal attended a banquet；
Using the e-mail address or telephone number of the terminal found, the sales task list is sent.
According to the second aspect of the disclosure, disclose a kind of automatically to the dress for issuing the progress data processing of sales task list
It sets, comprising:
Memory is configured to store the executable instruction of the processor；
Processor is configured to execute method as described above；
Transmitter is configured to send the job order of sales task to terminal of attending a banquet.
According to the third aspect of the disclosure, a kind of computer readable storage medium is disclosed, computer program is stored with
Instruction makes computer execute method as described above when the computer instruction is computer-executed.
Compared with sales task list in traditional technology is distributed to by upper-level leader according to its Subjective and respectively to be attended a banquet, the disclosure
Embodiment pass through and label to the attribute value of client for the sales task list to strike a bargain according to history of attending a banquet, and appoint in actually distribution
According to the matching of sales task list and label when business, the accurate pairing of sales task with terminal of attending a banquet is realized, from data processing side
Improve the accuracy and efficiency of task distribution in face.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
It is open.
Detailed description of the invention
Its example embodiment is described in detail by referring to accompanying drawing, above and other target, feature and the advantage of the disclosure will
It becomes more fully apparent.
Fig. 1 is shown according to the automatic to the side for issuing the progress data processing of sales task list of one example embodiment of the disclosure
The flow chart of method.
Fig. 2 shows according to the automatic to the dress for issuing the progress data processing of sales task list of one example embodiment of the disclosure
The block diagram set.
Fig. 3 shows the detail flowchart for the label attended a banquet according to the acquisition of one example embodiment of the disclosure.
Fig. 4 shows the detail flowchart of the determination accounting threshold value according to one example embodiment of the disclosure.
Fig. 5 shows the matching knot according to sales task list and the label attended a banquet according to one example embodiment of the disclosure
Fruit determines the flow chart attended a banquet for undertaking the sales task.
Fig. 6 shows the matching knot according to sales task list and the label attended a banquet according to one example embodiment of the disclosure
Fruit determines the detail flowchart attended a banquet for undertaking the sales task.
Fig. 7 shows the matching knot according to sales task list and the label attended a banquet according to one example embodiment of the disclosure
Fruit determines the detail flowchart attended a banquet for undertaking the sales task.
Fig. 8 shows the matching result based on keyword and label according to one example embodiment of the disclosure, and determination undertakes
The detail flowchart of the sales task attended a banquet.
Fig. 9 shows the matching knot according to sales task list and the label attended a banquet according to one example embodiment of the disclosure
Fruit determines the flow chart attended a banquet for undertaking the sales task.
Figure 10 shows the detail flowchart of the training machine learning model according to one example embodiment of the disclosure.
Figure 11, which is shown, sends sales task list to the determining terminal attended a banquet according to one example embodiment of the disclosure
Flow chart.
Figure 12, which is shown, carries out data processing to issuing sales task list according to the automatic of the disclosure one example embodiment
The block architecture diagram of system.
Figure 13, which is shown, carries out data processing to issuing sales task list according to the automatic of the disclosure one example embodiment
Hardware device figure.
Figure 14, which is shown, carries out data processing to issuing sales task list according to the automatic of the disclosure one example embodiment
Computer readable storage medium figure.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, providing these example embodiments makes the disclosure
Description will be more full and complete, and the design of example embodiment is comprehensively communicated to those skilled in the art.Attached drawing
The only schematic illustrations of the disclosure are not necessarily drawn to scale.Identical appended drawing reference indicates same or like in figure
Part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more examples in any suitable manner
In embodiment.In the following description, many details are provided to provide filling to the example embodiment of the disclosure
Sub-argument solution.However, those skilled in the art, which will realize, to omit the certain detail with technical solution of the disclosure
It is one or more in section, or can be using other methods, constituent element, step etc..In other cases, be not shown in detail or
Known features, method, realization or operation are described to avoid a presumptuous guest usurps the role of the host and all aspects of this disclosure is made to thicken.
Some block diagrams shown in the drawings are functional entitys, not necessarily must be with physically or logically independent entity phase
It is corresponding.These functional entitys can be realized using software form, or in one or more hardware modules or integrated circuit in fact
These existing functional entitys, or these functions reality is realized in heterogeneous networks and/or processor device and/or microcontroller device
Body.
One purpose of the disclosure is to improve the success rate of sale, the time loss of reduction sales task list distribution.Root
According to the automatic to the method for issuing the progress data processing of sales task list of an embodiment of the present disclosure, comprising: obtain sales task
It is single；Obtain the label attended a banquet, the label is the attribute value of client in the sales task list to strike a bargain in history of attending a banquet according to
It determines；According to the matching result of the sales task list and the label of attending a banquet, the seat for undertaking the sales task is determined
Seat；The sales task list is sent to the determining terminal attended a banquet.With sales task list in traditional technology by upper-level leader according to
Its Subjective is distributed to respectively to attend a banquet and be compared, and is beaten by the attribute value of the client to the sales task list to strike a bargain according to history of attending a banquet
Label, and the essence of sales task with terminal of attending a banquet is realized according to the matching of sales task list and label when actually distributing task
Quasi- pairing, improves the accuracy and efficiency of task distribution in terms of data processing.
Fig. 1, which is shown, carries out data processing to issuing sales task list automatically according to the one of one example embodiment of the disclosure
The flow chart of method.
In step S100, sales task list is obtained.
Sales task list refer to include the essential information of target customer e-mail interest statement.
In one embodiment, sales task list shows the essential information of target customer in table form.
In another embodiment, sales task list shows the essential information of target customer in the form of verbal description
Come.
In one embodiment, sales task single pass-through is obtained to extract to obtain from sales task single database.
In step S110, the label attended a banquet is obtained.
In one embodiment, the label is accomplished fluently in advance, such as is handled in advance by the step S1101 and S1102 of Fig. 3
It finishes, then directly acquires the label accomplished fluently in advance.
In another embodiment, the label is not accomplished fluently in advance, but after obtaining sales task list, then pass through Fig. 3
Step S1101 and S1102 obtain.
S1101: the sales task of each attribute value is had in all sales task lists to strike a bargain in history of attending a banquet described in determining
Single accounting；
S1102: the attribute value that the accounting is more than accounting threshold value is determined as the label attended a banquet.
Sales task list contains some attributes of predefined.Wherein, property or the pass of client are reacted in sales task list
System be attribute for example: " client gender ", " client occupation ", " client's income groups ", " client area ".Meanwhile it reflecting
The performance of attribute specific aspect is attribute value, such as: " client gender " corresponding attribute value is " male " or " female ", " client's duty
The corresponding attribute value of industry " is " doctor " or " teacher " or other occupations.
In one embodiment, it attends a banquet in all sales task lists to strike a bargain in history described in determining with each attribute value
The accounting of sales task list can carry out in this way: extracting the sales task list for all conclusions of the business of attending a banquet, determine all
A certain particular community in sales task list, such as the number distribution of attribute value corresponding to " client gender "." client gender " this
One attribute corresponds to " male " and " female " the two attribute values, determines the two attribute values respectively in the sales task list of all conclusions of the business
How much is middle presence, and respectively divided by the sum of sales task list, results in the corresponding attribute of " client gender " this attribute
It is worth accounting.
Due to attend a banquet in above-mentioned acquisition label during, with the quantity for the sales task list to strike a bargain in history of attending a banquet
Increase, the quantity of the sales task list with each attribute value is consequently increased.If appointed using the sale that will be more than quantity threshold
The label that the single attribute value of business will lead to attend a banquet as the criterion for label of attending a banquet is excessively many and diverse, is unable to the spy that accurate response is attended a banquet
It is long.Therefore use is smart by this method using the sales task list attribute value more than accounting threshold value as the criterion for label of attending a banquet
The speciality that quasi- reaction is attended a banquet.
In one embodiment, as shown in figure 4, determining that the accounting threshold value of attribute value specifically includes:
S11021: attending a banquet for each in team, determines in all sales task lists to strike a bargain in history with the category
The accounting of the sales task list of property value；
S11022: by the ascending sequence of the accounting；
S11023: will be located at m-th accounting in sequence, as the accounting threshold value, wherein M is positive integer, be equal to group
Number of attending a banquet in team rounds up multiplied by the product of predetermined ratio.
The accounting of sales task list with particular attribute-value in all sales task lists for conclusion of the business of all attending a banquet is carried out
Ascending sequence, then corresponding accounting threshold value is determined multiplied by predetermined ratio by attending a banquet number.The accounting determined by this method
Threshold value ensure that in range of the selection attended a banquet in predetermined ratio in team of entirely attending a banquet.
In one embodiment, the predetermined ratio be it is predetermined, accounting threshold value with the difference of predetermined ratio and
Variation.Such as there are 15 to attend a banquet in team, they are corresponding according to a certain particular community of all sales task lists of conclusion of the business
The accounting of particular attribute-value is ranked up from small to large.Predetermined ratio is 60%, and the product with number of attending a banquet is 9, then accounting threshold
Value is determined as the 9th accounting attended a banquet.Why the determination of accounting threshold value also rounds up this restriction, is due to certain pre-
What certainty ratio was obtained multiplied by number of attending a banquet is not positive integer.Such as predetermined ratio is 70%, the product with number of attending a banquet is 10.5,
Then accounting threshold value is determined as the 11st accounting attended a banquet.
In one embodiment, all attend a banquet in a certain particular attribute-value more than accounting threshold value is sticked into this attribute value
Label.
In step S120, according to the matching result of the sales task list and the label of attending a banquet, determination undertakes the pin
Sell attending a banquet for task.
In one embodiment, as shown in figure 5, step 120 specifically includes:
S1201: the attribute value of client in the sales task list is obtained；
S1202: it is held according to the attribute value of client, the matching result with the label attended a banquet, determination in the sales task list
Carry on a shoulder pole attending a banquet for the sales task.
In one embodiment, the attribute value of client has been subjected to arrangement in the sales task list, with table or item
Purpose form is presented in sales task list, therefore can directly be extracted to attribute value.This have the advantage that attribute
Value is easy to extract, the matching for the label that can be directly used for and attend a banquet.
In one embodiment, as shown in fig. 6, S1202 is specifically included:
S12021: determine in the label attended a banquet with the consistent label of one of the attribute value of client in the sales task list
Number；
S12022: by the number of tags divided by the total number of labels attended a banquet, the label and the pin attended a banquet is obtained
Sell the matching degree of the attribute value of client in job order；
S12023: being based on the matching degree, and determination undertakes attending a banquet for the sales task.
In one embodiment, the attribute value of client has obtained in sales task list, by the attribute value of client with attend a banquet
Label be compared, every there is identical comparison result and just add one in the number that success compares.After comparison, it will succeed
Than logarithm divided by the total number of labels attended a banquet, the matching of the attribute value of client in the label and sales task list attended a banquet is obtained
Degree.It is then based on the matching degree, determination undertakes attending a banquet for the sales task.In one embodiment, matching degree is selected most
High attending a banquet executes this sales task.It in another embodiment, can also be random in the top N of matching degree ranking is attended a banquet
It selects one and executes this sales task.The numerical value of N is determined in advance.By such method, ensure that can be with higher accuracy rate
It determines and executes attending a banquet for sales task.
In another embodiment, as shown in fig. 7, step S120 is specifically included:
S1201 ': the sales task description in the sales task list is obtained；
S1202 ': sales task description is segmented；
S1203 ': frequency of occurrence of each word in the description is determined；
S1204 ': the frequency of occurrence, the keyword of firm sale job order are based on；
S1205 ': the matching result based on the keyword Yu the label, determination undertake attending a banquet for the sales task.
Sales task description refers to the objectivity description to target customer in sales task list.
Participle, which refers to, is cut into individual word one by one for a word sequence, i.e., by a word sequence according to certain specification
It is reassembled into the process of word sequence.
Keyword refers to the word that can reflect target customer's attribute remained after participle.
By being segmented to the sales task list that attribute value is not set out directly, so that extracting can equally react
The keyword of the attribute of target customer out, then the keyword of sales task list is matched with the label attended a banquet so that it is determined that being gone out
Attending a banquet for the sales task is undertaken, the distribution of attending a banquet of the sales task list for only having sales task to describe is realized.
In one embodiment, the sales task list of acquisition does not list the attribute value of client directly, instead
It is the description of the behavior of a series of couples of clients, state.For example, client can go jogging daily；Client's dressing fashion etc..?
The attribute value of client can not be extracted in this sales task list, therefore using the keyword to sales task list and label of attending a banquet
It is matched, determination undertakes attending a banquet for the sales task.
In one embodiment, the sales task description in the sales task list is obtained, it, will be described in step S1202 '
Sales task description is segmented, comprising: after by sales task description participle, only retains the verb being divided into word and name
Word selects the keyword of sales task list from the verb and noun of reservation.In step S1203 ', determine each word in the description
In frequency of occurrence.In step S1204 ', it is based on the frequency of occurrence, the keyword of firm sale job order, comprising: will segment
Frequency of occurrence is determined as the keyword of sales task list greater than the verb and noun of the reservation of predetermined threshold afterwards, and threshold value is true in advance
It is fixed.
In step S1205 ', the matching result based on the keyword Yu the label, determination undertakes the sales task
Attend a banquet.
In one embodiment, as shown in figure 8, step S1205 ' is specifically included:
S12051 ': determine in the label attended a banquet with the consistent number of tags of one of the keyword；
S12052 ': by the number of tags divided by the total number of labels attended a banquet, the label attended a banquet and the pass are obtained
The matching degree of keyword；
S12053 ': being based on the matching degree, and determination undertakes attending a banquet for the sales task.
By this method, it selects and executes the sales task success rate highest or in the top attend a banquet.
In one embodiment, after the keyword of sales task list determines, keyword is compared with the label attended a banquet
It is right, determine the keyword number consistent with the label attended a banquet.By consistent keyword number divided by the total number of labels attended a banquet, obtain
To result be the label and keyword attended a banquet matching degree.Based on the matching degree obtained, determination undertakes the sale
Task is attended a banquet.In one embodiment, determine that highest attend a banquet of matching degree executes the sales task.Or in another reality
It applies in example, randomly selects one between the attending a banquet of P before matching degree ranking and execute the sales task.The numerical value of P is determined in advance.
In another embodiment, as shown in figure 9, step S120 is specifically included:
S1201 ": training machine learning model；
S1202 ": by the sales task single input machine learning model, by the machine learning model according to engineering
The sales task description in model is practised, output undertakes attending a banquet for the sales task, and the machine learning model is previously stored with
The label respectively attended a banquet.
In one embodiment, all historical sales job order radixes that team all attends a banquet are huge, and sales task list
In for the description of target customer can not be all extracted as can by it is specific measure, qualitative attribute, continue using based on visitor
The attribute value at family and the matching degree of label attended a banquet or the matching degree of the keyword based on sales task list and the label attended a banquet
The waste for largely there are the data of potential information will be will cause to the method that sales task distribution is attended a banquet.Pass through machine learning model
Output undertakes the method for sales task attended a banquet, and the data information in sales task list is farthest utilized, more accurately
Ground undertake the distribution of sales task attended a banquet.
In one embodiment, as shown in Figure 10, step S1201 " is specifically included:
S12011 ": sample set input machine learning model is described into sales task；
S12012 ": it by the machine learning model label according to the pre-stored data respectively attended a banquet, exports and is retouched for each sales task
State attending a banquet for sample distribution；
S12013 ": sales task describes each sales task in sample set and describes sample and distributed in advance to attend a banquet, if
What machine learning model exported attends a banquet and describes sample inconsistent, adjustment institute of attending a banquet allocated in advance for the sales task of input
Machine learning model is stated, make that machine learning model exports attends a banquet and to describe sample allocated in advance for the sales task that inputs
It attends a banquet consistent.
Sales task describes sample and refers to that has distributed the sales task description attended a banquet in advance.
Sales task describes sample set and refers to describe the set that sample forms by sales task.
It describes sample standard deviation and has distributed to attend a banquet since sales task describes the sales task in sample set, the sale is appointed
Business description sample set inputs machine learning model, and the allocation result of attending a banquet that machine learning model exports is attended a banquet with what is distributed in advance
As a result it is compared.The constantly parameter of adjustment machine learning model, allocation result of correctly attending a banquet can be exported by making it finally, by
This achievees the purpose that machine learning model training.
In one embodiment, each sales task describes that sample is the allocated in advance to attend a banquet, and has been distributed and has been attended a banquet by these
Sales task describe sample composition sales task sample set is described.The label respectively attended a banquet has been stored in advance in machine learning model,
Sample set input machine learning model is described into sales task, making machine learning model output is that each sales task describes sample
Distribution is attended a banquet.If it is different with attending a banquet of distributing in advance that machine learning model is that sales task describes attending a banquet for sample distribution
It causes, then adjusts the parameter of machine learning model, sales task is described into sample set input machine learning model again, so repeatedly
In generation, until attending a banquet for machine learning model output is attended a banquet unanimously with what is distributed in advance, machine learning model training terminates.
In one embodiment, step S1202 " is specifically included: being finished the sales task single input is trained
Machine learning model, machine learning model is previously stored with the label each attended a banquet in team, by machine learning model according to pin
It sells task description output and undertakes attending a banquet for the sales task.
In one embodiment, as shown in figure 11, step S130 is specifically included:
S1301: attending a banquet according to determining, searches the e-mail address or telephone number of the terminal attended a banquet；
S1302: using the e-mail address or telephone number of the terminal found, the sales task list is sent.
In one embodiment, the e-mail address or telephone number for the terminal each attended a banquet in team have been deposited in advance
Storage in address list, when execute sales task attend a banquet decide after, the electronics postal attended a banquet is found according to address list
Part address or telephone number, Xiang Suoshu, which attends a banquet, sends sales task list.
The disclosure additionally provides a kind of automatically to the device for issuing the progress data processing of sales task list.Refering to what is shown in Fig. 2,
Automatically the device for issuing sales task list may include: to obtain module 210, matching module 220, distribution module 230.Its
In:
Obtaining module 210 can be used for obtaining the sales task list, be obtained according to the historical sales job order attended a banquet
Take the label attended a banquet.
Matching module 220 can be used for matching the sales task list with the label attended a banquet.
Distribution module 230 can be used for being held according to the matching result decision of the sales task list and the label attended a banquet
Load sales task is attended a banquet, and distributes the sales task list to described attend a banquet.
It is above-mentioned automatically to issue sales task list carry out data processing device in each module detail right
It is described in detail in the method answered, therefore details are not described herein again.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description
Member, but this division is not enforceable.In fact, according to embodiment of the present disclosure, it is above-described two or more
Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould
The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
In addition, although describing each step of method in the disclosure in the accompanying drawings with particular order, this does not really want
These steps must be executed according to the particular order by asking or implying, could be real or have to carry out step shown in whole
Existing desired result.Additional or alternative, it is convenient to omit multiple steps are merged into a step and executed by certain steps, with
And/or a step is decomposed into execution of multiple steps etc. by person.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, and the software product can store non-easy at one
In the property lost storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a meter
Equipment (can be personal computer, server, mobile terminal or network equipment etc.) is calculated to execute according to disclosure embodiment
Method.
Figure 12, which is shown, carries out data processing to issuing sales task list according to the automatic of the disclosure one example embodiment
System architecture block diagram.The system architecture includes:
In one embodiment, the address list for being stored with sales task list in database 330 and attending a banquet, management end 340 will
The sales task of generation is sent to server.Server 320 receives after the sales task that management end 340 is sent, from database
330 recall the sales task list corresponding with sales task, the matching attended a banquet to the sales task list.Matching is completed
Afterwards, server 320 recalls the address list attended a banquet from database, attends a banquet end according to the address list attended a banquet to matched
The corresponding sales task of 310 distribution of end.
In one embodiment, terminal of attending a banquet 310 is appointed from the sales task that server 320 is sent is received to sale is completed
During the entire process of business, sales task implementation progress periodically is fed back to server 320, while server 320 is by terminal of attending a banquet
Sales task implementation progress record is stored and is sent to management end 340.
By the way that above to the description of system architecture, those skilled in the art is it can be readily appreciated that system architecture described herein
It can be realized shown in Fig. 2 automatically to the function of modules in the device for issuing the progress data processing of sales task list.
In an exemplary embodiment of the disclosure, a kind of electronic equipment that can be realized the above method is additionally provided.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 400 of this embodiment according to the present invention is described referring to Figure 13.The electricity that Figure 13 is shown
Sub- equipment 400 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 13, electronic equipment 400 is showed in the form of universal computing device.The component of electronic equipment 400 can be with
Including but not limited to: at least one above-mentioned processing unit 410, at least one above-mentioned storage unit 420, the different system components of connection
The bus 430 of (including processing unit 410 and storage unit 420).
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 410
Row, so that various according to the present invention described in the execution of the processing unit 410 above-mentioned " illustrative methods " part of this specification
The step of illustrative embodiments.For example, the processing unit 410 can execute step S100 as shown in fig. 1: obtaining pin
Sell job order；Step S110: the label attended a banquet is obtained；Step S120: according to the sales task list and the label of attending a banquet
Matching, determination undertake attending a banquet for the sales task；Step S130: the sales task is sent to the determining terminal attended a banquet
It is single.
Storage unit 420 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 4201 and/or cache memory unit 4202, it can further include read-only memory unit (ROM) 4203.
Bus 430 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, processing unit or the local bus using any bus structures in a variety of bus structures.
Electronic equipment 400 can also be communicated with one or more exterior terminals 500 (such as terminal of attending a banquet), and this communication can
To be carried out by input/output (I/O) interface 440.Also, electronic equipment 400 can also pass through network adapter 450 and one
Or multiple networks (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.As schemed
Show, network adapter 450 is communicated by bus 430 with other modules of electronic equipment 400.It should be understood that although not showing in figure
Out, other hardware and/or software module can be used in conjunction with electronic equipment 400, including but not limited to: microcode, device drives
Device, redundant processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, various aspects of the invention may be used also
In the form of being embodied as a kind of program product comprising program code, when described program product is run on the terminal device, institute
Program code is stated for executing the terminal device described in above-mentioned " illustrative methods " part of this specification according to this hair
The step of bright various illustrative embodiments.
With reference to shown in Figure 14, the program product for realizing the above method of embodiment according to the present invention is described
600, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C language " or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
Claims (10)
1. a kind of automatically to the method for issuing the progress data processing of sales task list characterized by comprising
Obtain sales task list；
Obtain the label attended a banquet, the label is the attribute value of client in the sales task list to strike a bargain in history of attending a banquet according to
It determines；
According to the matching result of the sales task list and the label of attending a banquet, determination undertakes attending a banquet for the sales task；
The sales task list is sent to the determining terminal attended a banquet.
2. the method according to claim 1, wherein described according to the sales task list and the label of attending a banquet
Matching result, determination undertake attending a banquet for the sales task, comprising:
Obtain the attribute value of client in the sales task list；
The sale is undertaken according to the attribute value of client, the matching result with the label attended a banquet, determination in the sales task list
Task is attended a banquet.
3. according to the method described in claim 2, it is characterized in that, the attribute according to client in the sales task list
Value, the matching result with the label attended a banquet, determination undertake attending a banquet for the sales task, comprising:
Determine in the label attended a banquet with the consistent number of tags of one of the attribute value of client in the sales task list；
By the number of tags divided by the total number of labels attended a banquet, visitor in the label and the sales task list attended a banquet is obtained
The matching degree of the attribute value at family；
Based on the matching degree, determination undertakes attending a banquet for the sales task.
4. the method according to claim 1, wherein described according to the sales task list and the label of attending a banquet
Matching result, determination undertake attending a banquet for the sales task, comprising:
Obtain the sales task description in the sales task list；
Sales task description is segmented；
Determine frequency of occurrence of each word in the description；
Based on the frequency of occurrence, the keyword of firm sale job order；
Matching result based on the keyword Yu the label, determination undertake attending a banquet for the sales task.
5. according to the method described in claim 4, it is characterized in that, the matching knot based on the keyword Yu the label
Fruit, determination undertake attending a banquet for the sales task, comprising:
Determine in the label attended a banquet with the consistent number of tags of one of the keyword；
By the number of tags divided by the total number of labels attended a banquet, the matching of the label and the keyword attended a banquet is obtained
Degree；
Based on the matching degree, determination undertakes attending a banquet for the sales task.
6. the method according to claim 1, wherein described according to the sales task list and the label of attending a banquet
Matching result, determination undertake attending a banquet for the sales task, comprising:
By the sales task single input machine learning model, by the machine learning model according to the pin in machine learning model
Task description is sold, output undertakes attending a banquet for the sales task, and the machine learning model is previously stored with the label respectively attended a banquet,
The machine learning model is trained in the following way in advance: sales task is described sample set input machine learning mould
Type is exported by the machine learning model label according to the pre-stored data respectively attended a banquet and is described sample distribution for each sales task
It attends a banquet, sales task describes each sales task in sample set and describes sample and distributed in advance to attend a banquet, if machine learning mould
Type output attend a banquet with for the sales task that inputs describe sample it is prior it is allocated attend a banquet inconsistent, adjust the machine learning
Model, describing the sales task of machine learning model output attended a banquet be input, sample is allocated in advance to attend a banquet unanimously.
7. the method according to claim 1, wherein described send the sale times to the determining terminal attended a banquet
Business singly include:
It is attended a banquet according to determining, searches the e-mail address or telephone number of the terminal attended a banquet；
Using the e-mail address or telephone number of the terminal found, the sales task list is sent.
8. a kind of automatically to the device for issuing the progress data processing of sales task list characterized by comprising
Module is obtained, for obtaining the sales task list and the label attended a banquet；
Matching module, for matching the sales task list with the label attended a banquet；
Distribution module, if for the sales task list and the tag match success attended a banquet, to terminal distribution of attending a banquet
Matching successful sales task list.
9. a kind of automatically to the electronic equipment for issuing the progress data processing of sales task list characterized by comprising
Processor is configured to execute method described in any of -7 according to claim 1；
Memory is configured to store the executable instruction of the processor；
Transmitter is configured to send the job order of sales task to terminal of attending a banquet.
10. a kind of computer readable storage medium, which is characterized in that it is stored with computer program instructions, when the computer
When instruction is computer-executed, computer is made to execute method described in any of -7 according to claim 1.
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| CN201811238503.7A CN109598404A (en) | 2018-10-23 | 2018-10-23 | Automatically to the method and apparatus for issuing the progress data processing of sales task list |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709607A (en) * | 2020-05-20 | 2020-09-25 | 北京嗨学网教育科技股份有限公司 | Client allocation method, device, electronic equipment and storage medium |
| CN112232612A (en) * | 2019-06-28 | 2021-01-15 | 百度在线网络技术（北京）有限公司 | Intelligent client data distribution method and device |
| CN112948416A (en) * | 2020-05-21 | 2021-06-11 | 深圳市明源云客电子商务有限公司 | Method, device and equipment for publishing house property sales task |
| CN113256070A (en) * | 2021-04-26 | 2021-08-13 | 北京淇瑀信息科技有限公司 | Supporting line distribution method and device based on electricity-pin conversion rate and electronic equipment |
| CN113344415A (en) * | 2021-06-23 | 2021-09-03 | 中国平安财产保险股份有限公司 | Deep neural network-based service distribution method, device, equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110173040A1 (en) * | 2010-01-12 | 2011-07-14 | Ultra Sales Technology Inc. | Systems and methods for customer allocation |
| WO2017088593A1 (en) * | 2015-11-24 | 2017-06-01 | 华为技术有限公司 | Service seat selection method, apparatus and system |
| CN107609058A (en) * | 2017-08-25 | 2018-01-19 | 维沃移动通信有限公司 | A kind of marketing method, robot customer side, artificial customer side and user terminal |
| CN108024021A (en) * | 2016-10-28 | 2018-05-11 | 广东亿迅科技有限公司 | A kind of IVR queuing systems and its implementation based on Call Center Platform |
-
2018
- 2018-10-23 CN CN201811238503.7A patent/CN109598404A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110173040A1 (en) * | 2010-01-12 | 2011-07-14 | Ultra Sales Technology Inc. | Systems and methods for customer allocation |
| WO2017088593A1 (en) * | 2015-11-24 | 2017-06-01 | 华为技术有限公司 | Service seat selection method, apparatus and system |
| CN108024021A (en) * | 2016-10-28 | 2018-05-11 | 广东亿迅科技有限公司 | A kind of IVR queuing systems and its implementation based on Call Center Platform |
| CN107609058A (en) * | 2017-08-25 | 2018-01-19 | 维沃移动通信有限公司 | A kind of marketing method, robot customer side, artificial customer side and user terminal |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112232612A (en) * | 2019-06-28 | 2021-01-15 | 百度在线网络技术（北京）有限公司 | Intelligent client data distribution method and device |
| CN111709607A (en) * | 2020-05-20 | 2020-09-25 | 北京嗨学网教育科技股份有限公司 | Client allocation method, device, electronic equipment and storage medium |
| CN112948416A (en) * | 2020-05-21 | 2021-06-11 | 深圳市明源云客电子商务有限公司 | Method, device and equipment for publishing house property sales task |
| CN113256070A (en) * | 2021-04-26 | 2021-08-13 | 北京淇瑀信息科技有限公司 | Supporting line distribution method and device based on electricity-pin conversion rate and electronic equipment |
| CN113344415A (en) * | 2021-06-23 | 2021-09-03 | 中国平安财产保险股份有限公司 | Deep neural network-based service distribution method, device, equipment and medium |
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